Google Cloud Skills Boost

Modernizing Data Lakes and Data Warehouses with Google Cloud

universal_currency_alt 20 Credits
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.

This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Resilient Streaming Analytics Systems on Google Cloud course.

When you complete this course, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

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Course Info
Objectives
  • Understand the differences between data lakes and data warehouses, the two key components of any data pipeline.
  • This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail.
  • Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
Available languages
English
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